Monte-Carlo Tree Search and Billiards - VideoLectures

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UCT: Exploration Vs ExploitationUCB: balanceexploration andexploitationAuer 03UCT = UCB for treesKocsis&Szepesvari 06

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Monte-Carlo & UCT for gamesSimulation planningMulti-armed banditsAssess values ofchild moves:asymetric tree growthExplore more themoves with bettervalue: UCT=> Baal Algorithm(Bandit-based ActiveLearning)

UCT: Exploration Vs ExploitationUCB: balanceexploration andexploitationAuer 03UCT = UCB for treesKocsis&Szepesvari 06

Page 1 and 2: European Conference in Machine Lear
Page 3 and 4: A major Machine Learning goalReduce
Page 5 and 6: How AL typically worksFind a way to
Page 7: Train the Active Learning PlayerIns
Page 11 and 12: The Baal AlgorithmValue function fo
Page 13 and 14: Baal: draw surrogate hypothesesBill
Page 15 and 16: Some results - 2Combining with ALcr
Page 17: Thanks for listening

Monte-Carlo Tree Search and Billiards - VideoLectures

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